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PANGLOSS: Knowledge-Based Machine Translation

What it is about

PANGLOSS is a project report on a knowledge-based interlingual system that combines symbolic and statistical methods for newspaper text in several languages. Its status list gives concrete sizes: an ontology of about 50,000 items, a 130,000-entry word list for the analyser, a bilingual Japanese-English dictionary of about 70,000 entries, and an English generation lexicon of about 70,000 items. One statistical component learns about 200,000 rules that decide where the articles "the" and "a" belong in English text produced from Japanese, which has no articles. The preliminary figure is that Spanish-to-English translators worked about 40 percent faster with the system than by hand. The report gives no method detail and no published score.

Ideas

For Mova

Article insertion is a clean case of open problem 4 (function words as features). The code is tools/translate/src/profile.rs for the encoder rules and meta.rs for the concept links. The rule-learning idea is the part to keep; the report's statistical rules are not described in enough detail to copy, so the counted version has to be built and measured from scratch.

Topics: Machine translation

Cite

The paper itself, not this card. BibTeX from the library's record of the work.

@inproceedings{hovy1994pangloss,
  title = {{PANGLOSS: Knowledge-Based Machine Translation}},
  author = {Hovy, Eduard},
  booktitle = {Human Language Technology: Proceedings of a Workshop held at Plainsboro, New Jersey, March 8-11, 1994},
  year = {1994},
  url = {https://aclanthology.org/H94-1121/}
}

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